Issue 838: Update comparison tool to use tracts (#934)

* Updating comparison tool to use tracts, and rely more heavily on `field_names`

data/data-pipeline/data_pipeline/etl/score/etl_score.py

@@ -276,7 +276,7 @@ class ScoreETL(ExtractTransformLoad):
             field_names.LIFE_EXPECTANCY_FIELD,
             field_names.ENERGY_BURDEN_FIELD,
             field_names.FEMA_RISK_FIELD,
-            field_names.URBAN_HERUISTIC_FIELD,
+            field_names.URBAN_HEURISTIC_FIELD,
             field_names.AIR_TOXICS_CANCER_RISK_FIELD,
             field_names.RESPITORY_HAZARD_FIELD,
             field_names.DIESEL_FIELD,

data/data-pipeline/data_pipeline/etl/score/etl_score_post.py

@@ -110,7 +110,7 @@ class PostScoreETL(ExtractTransformLoad):
 
         new_df_copy = new_df.rename(
             columns={"USPS": "State Abbreviation", "NAME": "County Name"},
-            inplace=False
+            inplace=False,
         )
 
         return new_df_copy

data/data-pipeline/data_pipeline/etl/sources/census_acs/etl.py

@@ -97,7 +97,6 @@ class CensusACSETL(ExtractTransformLoad):
                     f"Could not download data for state/territory with FIPS code {fips}"
                 )
 
-
         self.df = pd.concat(dfs)
 
         self.df[self.GEOID_TRACT_FIELD_NAME] = self.df.index.to_series().apply(

data/data-pipeline/data_pipeline/etl/sources/ejscreen_areas_of_concern/etl.py

@@ -32,7 +32,7 @@ class EJSCREENAreasOfConcernETL(ExtractTransformLoad):
         To enable the ETL code for EJSCREEN AoCs to run appropriately whether or not the person
         running it has access to that data, the following method checks whether the source file exists.
 
-        If it does exist, code can and should include to this data. If it does not exist, code should
+        If it does exist, code can and should include this data. If it does not exist, code should
         not reference this data.
 
         """

data/data-pipeline/data_pipeline/etl/sources/geocorr/etl.py

@@ -17,7 +17,7 @@ class GeoCorrETL(ExtractTransformLoad):
         # Need to change hyperlink to S3
         self.GEOCORR_PLACES_URL = "https://justice40-data.s3.amazonaws.com/data-sources/geocorr_urban_rural.csv.zip"
         self.GEOCORR_GEOID_FIELD_NAME = "GEOID10_TRACT"
-        self.URBAN_HERUISTIC_FIELD_NAME = "Urban Heuristic Flag"
+        self.URBAN_HEURISTIC_FIELD_NAME = "Urban Heuristic Flag"
 
         self.df: pd.DataFrame
 
@@ -47,7 +47,7 @@ class GeoCorrETL(ExtractTransformLoad):
 
         self.df.rename(
             columns={
-                "urban_heuristic_flag": self.URBAN_HERUISTIC_FIELD_NAME,
+                "urban_heuristic_flag": self.URBAN_HEURISTIC_FIELD_NAME,
             },
             inplace=True,
         )

data/data-pipeline/data_pipeline/etl/sources/persistent_poverty/etl.py

@@ -26,7 +26,7 @@ class PersistentPovertyETL(ExtractTransformLoad):
         # self.GEOCORR_PLACES_URL = "https://justice40-data.s3.amazonaws.com/data-sources/persistent_poverty_urban_rural.csv.zip"
         self.GEOID_TRACT_INPUT_FIELD_NAME_1 = "TRTID10"
         self.GEOID_TRACT_INPUT_FIELD_NAME_2 = "tractid"
-        # self.URBAN_HERUISTIC_FIELD_NAME = "Urban Heuristic Flag"
+        # self.URBAN_HEURISTIC_FIELD_NAME = "Urban Heuristic Flag"
 
         self.POVERTY_PREFIX = "Individuals in Poverty (percent)"
         self.PERSISTENT_POVERTY_FIELD = "Persistent Poverty Census Tract"

data/data-pipeline/data_pipeline/score/field_names.py

@@ -118,7 +118,7 @@ UNDER_5_FIELD = "Individuals under 5 years old"
 OVER_64_FIELD = "Individuals over 64 years old"
 
 # Urban Rural Map
-URBAN_HERUISTIC_FIELD = "Urban Heuristic Flag"
+URBAN_HEURISTIC_FIELD = "Urban Heuristic Flag"
 
 # Housing value
 MEDIAN_HOUSE_VALUE_FIELD = "Median value ($) of owner-occupied housing units"